The long-term financial forecast plays a crucial part in the company's long-term strategic plan. True or False True False
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- A forecast is usually classified by the future time horizon that it covers. True or false? Describe the three categories of time horizon?The number of cases of merlot wine sold by the Connor Owen winery in an eight-year period is as follows: YEAR CASES OFMERLOT WINE 2005 321 2006 407 2007 449 2008 507 2009 409 2010 551 2011 461 2012 427 Using an exponential smoothing model with an alpha value of 0.30, estimate the smoothed value calculated as of the end of 2012. Use the average demand for 2005 through 2007 as your initial forecast for 2008, and then smooth the forecast forward to 2012.Medium-term forecasts are used for making medium-term decisions related to planning for new products, capital expenditures, facility location or expansion, and research and development. True False
- The following table shows a company's annual revenue (in billions of dollars) for 2009 to 2014. Year Period (t) Revenue ($ billions) 2009 1 23.8 2010 29.2 2011 37.9 2012 4 50.3 2013 59.8 2014 6 66.6 (a) Construct a time series plot. 80 80 70 70 70 70 60 60 50 50 50 30 30 30 30- 20 20 20 20 10 10 10 - 10- 4. 6 7 4 6 4 5 6 7 1 2. 4 6 7 Period Period Period Period What type of pattern exists in the data? O The time series plot shows an upward linear trend. O The time series plot shows a downward curvilinear trend. O The time series plot shows a downward linear trend. O The time series plot shows an upward curvilinear trend. (b) Develop a linear trend equation for this time series to forecast revenue (in billions of dollars). (Round your numerical values to three decimal places.) T = (c) What is the average revenue increase per year (in billions of dollars) that this company has been realizing? (Round your answer to three decimal places.) billion Revenue ($ billions) Revenue ($ billions)…The following table shows the past two years of quarterly sales information. Assume that there are both trend and seasonal factors and that the seasonal cycle is one year. Use time series decomposition to forecast quarterly sales for the next year. (Do not round intermediate calculations. Round your answers to the nearest whole number.) Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.The following table shows the past two years of quarterly sales information. Assume that there are both trend and seasonal factors and that the seasonal cycle is one year. QUARTER 1 2 5678AWN 3 4 8 SALES 219 237 208 171 169 Quarter 9 10 11 12 192 157 132 Use regression and seasonal indexes to forecast quarterly sales for the next year. Note: Do not round intermediate calculations. Round your answers to the nearest whole number. Forecast
- Sales for the past 12 months at computer success are given here: January 3,000 July 6,300 february 3,400 August 7,200 March 3,700 Sept 6,400 April 4,100 Oct 4,600 May 4,700 Nov 4,200 June 5,700 December 3,900 a. Use a 3-month moving average to forecast the sales for the months May through December b. Use a 4-month moving average to forecast the sales for the months May through December C. Compare the performance of the two methods by using the mean absolute deviation as the performance criterion. Which method would you recommend? d. Compare the performance of the two methods by using the mean absolute percent error as the performance criterion. Which method would you recommend? e. Compare the performance of the two methods by using the mean squared error as the performance criterion. Which method would you recommend?A company wants to forecast demand using the weighted moving average. If the company uses three prior yearly sales values (i.e., the year 2014 = 155, the year 2015 = 140 and year 2016 = 170), and we want to weight the year 2014 at 30%, the year 2015 at 35% and year 2016 at 40%, which of the following is the weighted moving average forecast for the year 2017? 170 158 O 164 O 160The following table shows the past two years of quarterly sales information. Assume that there are both trend and seasonal factors and that the seasonal cycle is one year. QUARTER SALES 1 215 2 240 3 205 4 190 5 160 6 195 7 150 8 140 Use regression and seasonal indexes to forecast quarterly sales for the next year. Note: Do not round intermediate calculations. Round your answers to 1 decimal place.
- Using linear regression analysis, what would you estimate demand to be for each month next year? Month Forecast January February March April May June July August September October November DecemberAfter using your forecasting model for six months, you decide to test it using a tracking signal. Here are the forecast and actual demands for the six-month period: PERIOD FORECAST ACTUAL May 450 500 June 500 550 July 550 400 August 600 500 September 650 675 October 700 600 Find the tracking signal of each monthThe quarterly demand for smartphones at a retailer is as show. Year Quarter Demand 1 I 513 1 II 932 1 III 1509 1 IV 1902 2 I 693 2 II 1163 2 III 1857 2 IV 2469 Forecast the quarter 1 demand for year 3 using the following models: 4-quarter simple moving average. Simple exponential smoothing with α = 0.1. We assume that the forecasted value of quarter 1 is 500. Which method is the most accurate and why?